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Research Overview

My research focuses on in silico studies of the morphological
phenomena in engineered and natural heterogenous systems with
application to energy, nanotechnology, biomedical engineering, and
materials science. Put simply, morphology is a spatial distribution
of vastly different mediums, and is critical to the performance of
many engineering systems, such as organic solar cells, batteries or
drug delivery systems. The ability to understand morphology and to
link it with properties of devices (e.g. optical, mechanical,
chemical, etc.) has a potential to change how such devices are
designed, leading to faster, more economical and more
environmentally friendly manufacturing. Integration of
computational thinking with experimental techniques makes a unique
combination that underpins scientific progress. Specifically, such
a combination is indispensable to study nanoscale systems, where
purely experimental approaches, although impressive, are still
limited, due to the interplay between resolution and accessible
domain size, and their complexity and prohibitive cost. I have
significant experience in scientific computing - many years of
prototyping and development of scientific applications for
computational physics, especially thermomechanics and materials
science. In my work, I combine efficient numerical methods with
high performance computing techniques to tackle large scale
problems arising in my application domain.